Other packages > Find by keyword >

TCA  

Tensor Composition Analysis
View on CRAN: Click here


Download and install TCA package within the R console
Install from CRAN:
install.packages("TCA")

Install from Github:
library("remotes")
install_github("cran/TCA")

Install by package version:
library("remotes")
install_version("TCA", "1.2.1")



Attach the package and use:
library("TCA")
Maintained by
Elior Rahmani
[Scholar Profile | Author Map]
First Published: 2019-05-22
Latest Update: 2021-02-14
Description:
Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <doi:10.1038/s41467-019-11052-9>.
How to cite:
Elior Rahmani (2019). TCA: Tensor Composition Analysis. R package version 1.2.1, https://cran.r-project.org/web/packages/TCA. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-05-22 16:10), 1.1.0 (2019-11-16 18:10)
Other packages that cited TCA R package
View TCA citation profile
Other R packages that TCA depends, imports, suggests or enhances
Complete documentation for TCA
Functions, R codes and Examples using the TCA R package
Some associated functions: refactor . tca . tcareg . tcasub . tensor . test_data . 
Some associated R codes: TCA.R . model_fit.R . refactor.R . utils.R .  Full TCA package functions and examples
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/02Downloads for TCA24681012141618TrendBars

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
Rexperigen  
R Interface to Experigen
Provides convenience functions to communicate with an Experigen server: Experigen ( ...
Download / Learn more Package Citations See dependency  
perryExamples  
Examples for Integrating Prediction Error Estimation into Regression Models
Examples for integrating package 'perry' for prediction error estimation into regression models. ...
Download / Learn more Package Citations See dependency  
RMixpanel  
API for Mixpanel
Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functio ...
Download / Learn more Package Citations See dependency  
metaprotr  
Metaproteomics Post-Processing Analysis
Set of tools for descriptive analysis of metaproteomics data generated from high-throughput mass ...
Download / Learn more Package Citations See dependency  
PakPMICS2014HH  
Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan
Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2014 Hous ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA